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On Leakage in Machine Learning Pipelines., , , , , , , , , and 2 other author(s). CoRR, (2023)Abstract: Data Augmentation for Information Transfer - Why Controlling for Confounding Effects in Radiomic Studies is Important and How to do it., and . Bildverarbeitung für die Medizin, page 140. Springer, (2021)Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Information., , and . Bildverarbeitung für die Medizin, page 25. Springer, (2024)Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning., , , , , , , , , and 2 other author(s). Bildverarbeitung für die Medizin, page 158. Springer, (2024)Dealing with Small Datasets for Deep Learning in Medical Imaging: An Evaluation of Self-Supervised Pre-Training on CT Scans Comparing Contrastive and Masked Autoencoder Methods for Convolutional Models., , , , , , and . CoRR, (2023)Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation., , , and . CoRR, (2024)Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models., , , , , , , , , and 1 other author(s). MOVI@MICCAI, volume 13578 of Lecture Notes in Computer Science, page 73-83. Springer, (2022)RPTK: The Role of Feature Computation on Prediction Performance., , , , , , , , , and 4 other author(s). MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, volume 14394 of Lecture Notes in Computer Science, page 113-122. Springer, (2023)DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images., , , , , , , , , and . CoRR, (2024)Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models., , , , , , , , , and 1 other author(s). Bildverarbeitung für die Medizin, page 245. Springer, (2023)